Towards better water security in North China

2006 ◽  
pp. 233-247
Author(s):  
Jun Xia ◽  
Lu Zhang ◽  
Changming Liu ◽  
Jingjie Yu
Keyword(s):  
North China ◽  
Water Security

Multi-scale assessment of water security under climate change in North China in the past two decades

2021 ◽  
pp. 150103
Author(s):  
Guodong Yin ◽  
Guoqiang Wang ◽  
Xuan Zhang ◽  
Xiao Wang ◽  
Qiuhong Hu ◽  
...  
Keyword(s):  
Climate Change ◽  
North China ◽  
Water Security ◽  
Multi Scale ◽  
The Past ◽  
Scale Assessment

scholarly journals Regional Water Resources Security Evaluation Based on a Hybrid Fuzzy BWM-TOPSIS Method

2020 ◽  
Vol 17 (14) ◽  
pp. 4987
Author(s):  
Yan Tu ◽  
Kai Chen ◽  
Huayi Wang ◽  
Zongmin Li
Keyword(s):  
Water Quality ◽  
Water Resources ◽  
North China ◽  
Water Security ◽  
Evaluation Methodology ◽  
Security Evaluation ◽  
Equal Weight ◽  
Topsis Method ◽  
Security Levels ◽  
Regional Water

Nowadays, water resource security is becoming increasingly prominent, and this problem is a primary bottleneck restricting China’s future sustainable development. It is difficult to come to a unified conclusion on water resources security, and applications of highly feasible evaluation methods are lacking in practice. In this paper, a novel evaluation methodology is proposed for regional water resources security evaluation. First, water security is divided into two aspects: water quantity security and water quality security. The disposal rate of harmless household garbage, the excellent water resources proportion, and the functional water body loss proportion are creatively considered as indicators of water quality security in the evaluation system. In addition, a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to evaluate the water security levels in different regions. For distinguishing the importance of different indicators, a Best–Worst Method (BWM) is employed to calculate the indicator weights, as triangular fuzzy linguistic sets can more flexibly describe the preferences of decision makers (DMs) regarding the indicators; therefore, it is embedded in BWM to determine indicator weights. Moreover, the fuzzy BWM-TOPSIS method is applied to evaluate the water security levels of six regions in North China, a comparison analysis with the equal weight TOPSIS method as well as the fuzzy BWM-AHP method, and a sensitivity analysis for indicator weights are presented to illustrate the effectiveness of this proposed method. Finally, some suggestions based on the evaluation results are given for effective and rational utilization of water resources in North China.

Towards better water security in North China

2006 ◽  
Vol 21 (1) ◽  
pp. 233-247 ◽  
Author(s):  
Jun Xia ◽  
Lu Zhang ◽  
Changming Liu ◽  
Jingjie Yu
Keyword(s):  
North China ◽  
Water Security

Ensuring water security, food security, and clean water in the North China Plain – conflicting strategies

2019 ◽  
Vol 40 ◽  
pp. 63-71 ◽  
Author(s):  
Shiqin Wang ◽  
Yukun Hu ◽  
Ruiqiang Yuan ◽  
Wenzhao Feng ◽  
Yun Pan ◽  
...  
Keyword(s):  
Food Security ◽  
North China Plain ◽  
North China ◽  
Water Security ◽  
Clean Water ◽  
The North ◽  
The North China Plain

Quantifying net irrigation across the North China Plain through dual modelling of evapotranspiration

2020 ◽  
Author(s):  
Julian Koch ◽  
Simon Stisen ◽  
Xin He ◽  
Grith Martinsen
Keyword(s):  
Remote Sensing ◽  
North China Plain ◽  
North China ◽  
Hydrological Model ◽  
Water Cycle ◽  
Water Security ◽  
Groundwater Depletion ◽  
The North ◽  
The North China Plain ◽  
Irrigation Water Use

<p>Knowledge of irrigation water use is crucial for ensuring food and water security in water scarce regions. Even though irrigation is one of the most important direct human interferences with the terrestrial water cycle, there exists limited knowledge on the extent of irrigated areas and in particular the amount of water applied for irrigation. In this study, we develop a novel approach that estimates net water loss due to irrigation and apply it over the North China Plain domain, which is a global hotspot for severe groundwater depletion caused by extensive irrigation practices. Our goal is to retrieve spatio-temporal patterns of net irrigation amounts, constituted as evaporative loss of irrigated water, at monthly timescale at 1km<sup>2</sup> spatial resolution. The analysis is based on a direct comparison of two alternative evapotranspiration (ET) models: (1) A remote sensing based model (PT-JPL-thermal) using various MODIS products as input and (2) a one-dimensional, free drainage hydrological model (mHM). The hydrological model is purely driven by rainfall and will therefore naturally show a strong disagreement with the remote sensing based ET during periods of extensive irrigation. We use this systematic residual term that reflects a non-precipitation-based water source, as quantification of net irrigation. The hydrological model is calibrated against the remote sensing based ET at grids that are not affected by irrigation and discharge records representing natural flow. Total water storage anomalies retrieved by GRACE are utilized to evaluate the derived net irrigation amounts over the North China Plain. We find, that irrigation peaks in May, which corresponds to the peak of the growing season of winter wheat. Moreover total irrigation amounts to 116 mm per year (14km<sup>3</sup>), which is in good agreement with previous studies. The net irrigation estimates are at an unprecedented spatial and temporal resolution and are extremely valuable input for water resources management as well as for subsequent groundwater modelling where net irrigation can be utilized as pumping boundary condition.</p>

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